Overview

Brought to you by YData

Dataset statistics

Number of variables57
Number of observations4631
Missing cells2014
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 MiB
Average record size in memory2.5 KiB

Variable types

Numeric7
Categorical18
Text7
DateTime13
Unsupported11
Boolean1

Alerts

Site Code has constant value "20" Constant
Cancellation Reason on Surgery Day has constant value "" Constant
Readmission has constant value "0" Constant
No Show has constant value "False" Constant
Actual Operating Room Number is highly overall correlated with Planned Operating Room NumberHigh correlation
Actual Surgery Room Entry Time_Minutes is highly overall correlated with Administrative Admission Time_Minutes and 9 other fieldsHigh correlation
Administrative Admission Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 8 other fieldsHigh correlation
Anesthesia Code is highly overall correlated with Type of AnesthesiaHigh correlation
Closure Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
End of Surgery Time (Exit from OR)_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
Incision Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
Planned End Time for Doctor Block_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 7 other fieldsHigh correlation
Planned Operating Room Number is highly overall correlated with Actual Operating Room Number and 1 other fieldsHigh correlation
Planned Start Time for Doctor Block_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 8 other fieldsHigh correlation
Planned Surgery Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
Pre-Surgical Admission Time Before Surgery_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
Recovery Room Entry Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 9 other fieldsHigh correlation
Recovery Room Exit Time_Minutes is highly overall correlated with Actual Surgery Room Entry Time_Minutes and 7 other fieldsHigh correlation
Type of Anesthesia is highly overall correlated with Anesthesia CodeHigh correlation
אתר מתוכנן is highly overall correlated with Planned Operating Room NumberHigh correlation
Planned SU Time (Large/Medium/Small) is highly imbalanced (55.2%) Imbalance
אתר מתוכנן is highly imbalanced (98.6%) Imbalance
Anesthesia Code is highly imbalanced (72.6%) Imbalance
Type of Anesthesia is highly imbalanced (72.6%) Imbalance
Closure DateTime has 207 (4.5%) missing values Missing
Exit DateTime has 1772 (38.3%) missing values Missing
patient_id has unique values Unique
strict_signature has unique values Unique
Planned Surgery Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Administrative Admission Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Pre-Surgical Admission Time Before Surgery is an unsupported type, check if it needs cleaning or further analysis Unsupported
Actual Surgery Room Entry Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Incision Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Closure Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
End of Surgery Time (Exit from OR) is an unsupported type, check if it needs cleaning or further analysis Unsupported
Recovery Room Entry Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Recovery Room Exit Time is an unsupported type, check if it needs cleaning or further analysis Unsupported
Planned Start Time for Doctor Block is an unsupported type, check if it needs cleaning or further analysis Unsupported
Planned End Time for Doctor Block is an unsupported type, check if it needs cleaning or further analysis Unsupported
Anesthesiologist Code has 173 (3.7%) zeros Zeros

Reproduction

Analysis started2025-07-31 16:21:31.959276
Analysis finished2025-07-31 16:21:49.042507
Duration17.08 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

patient_id
Real number (ℝ)

Unique 

Distinct4631
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10581.648
Minimum37
Maximum20850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:49.116019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile1173.5
Q15772.5
median11234
Q314925.5
95-th percentile19310.5
Maximum20850
Range20813
Interquartile range (IQR)9153

Descriptive statistics

Standard deviation5565.3914
Coefficient of variation (CV)0.52594751
Kurtosis-1.0477343
Mean10581.648
Median Absolute Deviation (MAD)4358
Skewness-0.11142908
Sum49003612
Variance30973582
MonotonicityStrictly increasing
2025-07-31T16:21:49.219072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20850 1
 
< 0.1%
37 1
 
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
41 1
 
< 0.1%
44 1
 
< 0.1%
20575 1
 
< 0.1%
20573 1
 
< 0.1%
20548 1
 
< 0.1%
Other values (4621) 4621
99.8%
ValueCountFrequency (%)
37 1
< 0.1%
38 1
< 0.1%
39 1
< 0.1%
40 1
< 0.1%
41 1
< 0.1%
44 1
< 0.1%
45 1
< 0.1%
46 1
< 0.1%
48 1
< 0.1%
49 1
< 0.1%
ValueCountFrequency (%)
20850 1
< 0.1%
20844 1
< 0.1%
20837 1
< 0.1%
20798 1
< 0.1%
20783 1
< 0.1%
20780 1
< 0.1%
20760 1
< 0.1%
20752 1
< 0.1%
20748 1
< 0.1%
20746 1
< 0.1%

Site Code
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size303.0 KiB
20
4631 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters9262
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 4631
100.0%

Length

2025-07-31T16:21:49.301401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:49.353758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
20 4631
100.0%

Most occurring characters

ValueCountFrequency (%)
2 4631
50.0%
0 4631
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9262
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 4631
50.0%
0 4631
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9262
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 4631
50.0%
0 4631
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9262
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 4631
50.0%
0 4631
50.0%
Distinct391
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size319.0 KiB
2025-07-31T16:21:49.606019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.5426474
Min length4

Characters and Unicode

Total characters25668
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)1.6%

Sample

1st row2982
2nd row2982
3rd row2982
4th row2982
5th row2982
ValueCountFrequency (%)
20044 181
 
3.9%
23095 136
 
2.9%
19311 133
 
2.9%
22241 82
 
1.8%
27437 74
 
1.6%
27134 72
 
1.6%
28054880 67
 
1.4%
19937 66
 
1.4%
16917 64
 
1.4%
25936 53
 
1.1%
Other values (380) 3707
80.0%
2025-07-31T16:21:49.961710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4180
16.3%
3 3592
14.0%
1 3456
13.5%
4 2352
9.2%
0 2235
8.7%
7 2121
8.3%
5 2091
8.1%
9 1966
7.7%
8 1927
7.5%
6 1740
6.8%
Other values (2) 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25668
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 4180
16.3%
3 3592
14.0%
1 3456
13.5%
4 2352
9.2%
0 2235
8.7%
7 2121
8.3%
5 2091
8.1%
9 1966
7.7%
8 1927
7.5%
6 1740
6.8%
Other values (2) 8
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25668
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 4180
16.3%
3 3592
14.0%
1 3456
13.5%
4 2352
9.2%
0 2235
8.7%
7 2121
8.3%
5 2091
8.1%
9 1966
7.7%
8 1927
7.5%
6 1740
6.8%
Other values (2) 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25668
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 4180
16.3%
3 3592
14.0%
1 3456
13.5%
4 2352
9.2%
0 2235
8.7%
7 2121
8.3%
5 2091
8.1%
9 1966
7.7%
8 1927
7.5%
6 1740
6.8%
Other values (2) 8
 
< 0.1%

Activity Code
Real number (ℝ)

Distinct256
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.257732
Minimum1.2
Maximum98.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:50.068322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile22.09
Q151.23
median57
Q380.9
95-th percentile85.432
Maximum98.55
Range97.35
Interquartile range (IQR)29.67

Descriptive statistics

Standard deviation20.010331
Coefficient of variation (CV)0.33768303
Kurtosis-0.45587252
Mean59.257732
Median Absolute Deviation (MAD)11.5
Skewness-0.41272343
Sum274422.56
Variance400.41333
MonotonicityNot monotonic
2025-07-31T16:21:50.800950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.23 339
 
7.3%
81.51 191
 
4.1%
57 176
 
3.8%
85.432 175
 
3.8%
54.01 163
 
3.5%
54 155
 
3.3%
65.21 152
 
3.3%
42.1 133
 
2.9%
53 130
 
2.8%
22.091 122
 
2.6%
Other values (246) 2895
62.5%
ValueCountFrequency (%)
1.2 2
< 0.1%
1.4 1
 
< 0.1%
2.3 1
 
< 0.1%
3.4 2
< 0.1%
4.43 1
 
< 0.1%
4.5 2
< 0.1%
4.84 2
< 0.1%
4.85 2
< 0.1%
5.2 3
0.1%
9.44 1
 
< 0.1%
ValueCountFrequency (%)
98.55 66
1.4%
98.51 2
 
< 0.1%
86.83 7
 
0.2%
86.4 5
 
0.1%
86.21 7
 
0.2%
86.14 2
 
< 0.1%
85.936 4
 
0.1%
85.85 1
 
< 0.1%
85.83 2
 
< 0.1%
85.81 1
 
< 0.1%

Activity Type Code
Real number (ℝ)

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.632693
Minimum8
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:50.874948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q112
median15
Q319
95-th percentile22
Maximum149
Range141
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.3017956
Coefficient of variation (CV)0.27517944
Kurtosis202.98391
Mean15.632693
Median Absolute Deviation (MAD)3
Skewness7.2351406
Sum72395
Variance18.505445
MonotonicityNot monotonic
2025-07-31T16:21:50.937544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12 1674
36.1%
15 839
18.1%
17 762
16.5%
19 621
 
13.4%
22 599
 
12.9%
8 94
 
2.0%
20 19
 
0.4%
13 8
 
0.2%
14 8
 
0.2%
51 5
 
0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
8 94
 
2.0%
12 1674
36.1%
13 8
 
0.2%
14 8
 
0.2%
15 839
18.1%
17 762
16.5%
19 621
 
13.4%
20 19
 
0.4%
22 599
 
12.9%
39 1
 
< 0.1%
ValueCountFrequency (%)
149 1
 
< 0.1%
51 5
 
0.1%
39 1
 
< 0.1%
22 599
12.9%
20 19
 
0.4%
19 621
13.4%
17 762
16.5%
15 839
18.1%
14 8
 
0.2%
13 8
 
0.2%
Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size311.2 KiB
20.0
3261 
0.0
 
154
18.0
 
149
 
148
19.0
 
146
Other values (17)
773 

Length

Max length4
Median length4
Mean length3.8192615
Min length0

Characters and Unicode

Total characters17687
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row17.0
4th row18.0
5th row18.0

Common Values

ValueCountFrequency (%)
20.0 3261
70.4%
0.0 154
 
3.3%
18.0 149
 
3.2%
148
 
3.2%
19.0 146
 
3.2%
17.0 130
 
2.8%
16.0 124
 
2.7%
14.0 104
 
2.2%
15.0 101
 
2.2%
12.0 70
 
1.5%
Other values (12) 244
 
5.3%

Length

2025-07-31T16:21:51.017253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20.0 3261
72.7%
0.0 154
 
3.4%
18.0 149
 
3.3%
19.0 146
 
3.3%
17.0 130
 
2.9%
16.0 124
 
2.8%
14.0 104
 
2.3%
15.0 101
 
2.3%
12.0 70
 
1.6%
13.0 64
 
1.4%
Other values (11) 180
 
4.0%

Most occurring characters

ValueCountFrequency (%)
0 7934
44.9%
. 4483
25.3%
2 3339
18.9%
1 1037
 
5.9%
9 175
 
1.0%
8 160
 
0.9%
7 141
 
0.8%
6 133
 
0.8%
4 112
 
0.6%
5 106
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17687
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 7934
44.9%
. 4483
25.3%
2 3339
18.9%
1 1037
 
5.9%
9 175
 
1.0%
8 160
 
0.9%
7 141
 
0.8%
6 133
 
0.8%
4 112
 
0.6%
5 106
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17687
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 7934
44.9%
. 4483
25.3%
2 3339
18.9%
1 1037
 
5.9%
9 175
 
1.0%
8 160
 
0.9%
7 141
 
0.8%
6 133
 
0.8%
4 112
 
0.6%
5 106
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17687
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 7934
44.9%
. 4483
25.3%
2 3339
18.9%
1 1037
 
5.9%
9 175
 
1.0%
8 160
 
0.9%
7 141
 
0.8%
6 133
 
0.8%
4 112
 
0.6%
5 106
 
0.6%
Distinct167
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-05-22 00:00:00
Maximum2024-01-02 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:51.107651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:51.220333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Height
Text

Distinct77
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size311.1 KiB
2025-07-31T16:21:51.397015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.783632
Min length0

Characters and Unicode

Total characters17522
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.5%

Sample

1st row1.66
2nd row1.76
3rd row1.6
4th row1.72
5th row1.69
ValueCountFrequency (%)
1.7 329
 
7.1%
1.6 322
 
7.0%
1.65 258
 
5.6%
1.68 229
 
5.0%
1.72 192
 
4.2%
1.64 186
 
4.0%
1.62 179
 
3.9%
1.8 178
 
3.9%
1.73 169
 
3.7%
1.78 166
 
3.6%
Other values (66) 2397
52.1%
2025-07-31T16:21:51.638891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4785
27.3%
. 4605
26.3%
6 2108
12.0%
7 1828
 
10.4%
5 1290
 
7.4%
8 1154
 
6.6%
2 513
 
2.9%
4 481
 
2.7%
3 447
 
2.6%
9 299
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17522
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4785
27.3%
. 4605
26.3%
6 2108
12.0%
7 1828
 
10.4%
5 1290
 
7.4%
8 1154
 
6.6%
2 513
 
2.9%
4 481
 
2.7%
3 447
 
2.6%
9 299
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17522
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4785
27.3%
. 4605
26.3%
6 2108
12.0%
7 1828
 
10.4%
5 1290
 
7.4%
8 1154
 
6.6%
2 513
 
2.9%
4 481
 
2.7%
3 447
 
2.6%
9 299
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17522
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4785
27.3%
. 4605
26.3%
6 2108
12.0%
7 1828
 
10.4%
5 1290
 
7.4%
8 1154
 
6.6%
2 513
 
2.9%
4 481
 
2.7%
3 447
 
2.6%
9 299
 
1.7%

Weight
Text

Distinct266
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size312.5 KiB
2025-07-31T16:21:51.864771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.091125
Min length0

Characters and Unicode

Total characters18946
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)3.1%

Sample

1st row63.7
2nd row71.0
3rd row36.0
4th row65.0
5th row64.0
ValueCountFrequency (%)
80.0 164
 
3.6%
70.0 147
 
3.2%
75.0 138
 
3.0%
72.0 126
 
2.7%
82.0 125
 
2.7%
65.0 125
 
2.7%
74.0 118
 
2.6%
60.0 117
 
2.5%
85.0 114
 
2.5%
78.0 107
 
2.3%
Other values (255) 3324
72.2%
2025-07-31T16:21:52.169116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5417
28.6%
. 4605
24.3%
7 1474
 
7.8%
8 1449
 
7.6%
6 1365
 
7.2%
5 1168
 
6.2%
1 971
 
5.1%
9 862
 
4.5%
2 585
 
3.1%
4 550
 
2.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18946
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5417
28.6%
. 4605
24.3%
7 1474
 
7.8%
8 1449
 
7.6%
6 1365
 
7.2%
5 1168
 
6.2%
1 971
 
5.1%
9 862
 
4.5%
2 585
 
3.1%
4 550
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18946
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5417
28.6%
. 4605
24.3%
7 1474
 
7.8%
8 1449
 
7.6%
6 1365
 
7.2%
5 1168
 
6.2%
1 971
 
5.1%
9 862
 
4.5%
2 585
 
3.1%
4 550
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18946
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5417
28.6%
. 4605
24.3%
7 1474
 
7.8%
8 1449
 
7.6%
6 1365
 
7.2%
5 1168
 
6.2%
1 971
 
5.1%
9 862
 
4.5%
2 585
 
3.1%
4 550
 
2.9%
Distinct81
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.606564
Minimum16
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:52.272512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile27
Q147
median60
Q370
95-th percentile79
Maximum97
Range81
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.829008
Coefficient of variation (CV)0.27477785
Kurtosis-0.43799032
Mean57.606564
Median Absolute Deviation (MAD)11
Skewness-0.48973462
Sum266776
Variance250.55749
MonotonicityNot monotonic
2025-07-31T16:21:52.378953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 133
 
2.9%
68 130
 
2.8%
73 128
 
2.8%
59 123
 
2.7%
76 120
 
2.6%
64 119
 
2.6%
70 118
 
2.5%
67 117
 
2.5%
61 112
 
2.4%
65 109
 
2.4%
Other values (71) 3422
73.9%
ValueCountFrequency (%)
16 2
 
< 0.1%
17 10
 
0.2%
18 18
0.4%
19 20
0.4%
20 7
 
0.2%
21 27
0.6%
22 15
0.3%
23 36
0.8%
24 18
0.4%
25 24
0.5%
ValueCountFrequency (%)
97 1
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%
94 2
 
< 0.1%
93 2
 
< 0.1%
91 3
0.1%
90 4
0.1%
89 5
0.1%
88 4
0.1%
87 3
0.1%
Distinct4326
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.0 MiB
2025-07-31T16:21:52.675617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length769
Median length343
Mean length80.68387
Min length0

Characters and Unicode

Total characters373647
Distinct characters117
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4202 ?
Unique (%)90.7%

Sample

1st rowAsthma אלרגיה לחילופי עונה מיגרנות, SIALOLITHIASIS SUBMANDIBULAR
2nd rowParotis
3rd rowHypertension Hyperlipidemia עומד בפני כריתת אבן מבלוטת רוק CAROTID ARTERY STENOSIS SP PTCA STENT BCC SP MI מחלת לב כלילית ירידת שמיעה דו צדדית - מרכיב מכשירי שמיעה, Sialolithiasis
4th rowAsthma LT SUBMANDIBULAR STONE IRON DEFICIENCY ANEMIA FRACTURE FEMORAL SHAFT CLOSED ANGIOEDEMA ALLERGIC HERPES SIMPLEX CONDYLOMA ACCUMINATA URETHRITIS UNS PSORIASIS, הוצאת אבן מבלוטת רוק
5th rowLt Salivary Gland Endoscopy for Sialolitiasis, SIALOLITHIASIS RADICULAR PAIN VASOVAGAL PHENOMENON COLON POLYP NEUROPATHIC PAIN
ValueCountFrequency (%)
hypertension 1502
 
3.3%
hypercholesterolemia 1018
 
2.3%
984
 
2.2%
diabetes 739
 
1.6%
mellitus 725
 
1.6%
hyperlipidemia 566
 
1.3%
hernia 482
 
1.1%
obesity 454
 
1.0%
bph 449
 
1.0%
of 446
 
1.0%
Other values (6598) 37703
83.7%
2025-07-31T16:21:53.095351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57757
 
15.5%
I 15379
 
4.1%
e 15256
 
4.1%
A 13949
 
3.7%
E 13567
 
3.6%
R 11785
 
3.2%
T 11180
 
3.0%
i 11012
 
2.9%
O 10784
 
2.9%
S 10636
 
2.8%
Other values (107) 202342
54.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 373647
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
57757
 
15.5%
I 15379
 
4.1%
e 15256
 
4.1%
A 13949
 
3.7%
E 13567
 
3.6%
R 11785
 
3.2%
T 11180
 
3.0%
i 11012
 
2.9%
O 10784
 
2.9%
S 10636
 
2.8%
Other values (107) 202342
54.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 373647
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
57757
 
15.5%
I 15379
 
4.1%
e 15256
 
4.1%
A 13949
 
3.7%
E 13567
 
3.6%
R 11785
 
3.2%
T 11180
 
3.0%
i 11012
 
2.9%
O 10784
 
2.9%
S 10636
 
2.8%
Other values (107) 202342
54.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 373647
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
57757
 
15.5%
I 15379
 
4.1%
e 15256
 
4.1%
A 13949
 
3.7%
E 13567
 
3.6%
R 11785
 
3.2%
T 11180
 
3.0%
i 11012
 
2.9%
O 10784
 
2.9%
S 10636
 
2.8%
Other values (107) 202342
54.2%
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:53.197258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:53.304549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Planned Surgery Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:53.409582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:53.518945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Administrative Admission Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB

אתר מתוכנן
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size673.6 KiB
אסותא רמת החייל
4622 
לא ידוע
 
7
אסותא ראשל"צ
 
2

Length

Max length15
Median length15
Mean length14.986612
Min length7

Characters and Unicode

Total characters69403
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowאסותא רמת החייל
2nd rowאסותא רמת החייל
3rd rowאסותא רמת החייל
4th rowאסותא רמת החייל
5th rowאסותא רמת החייל

Common Values

ValueCountFrequency (%)
אסותא רמת החייל 4622
99.8%
לא ידוע 7
 
0.2%
אסותא ראשל"צ 2
 
< 0.1%

Length

2025-07-31T16:21:53.618230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:53.671352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
אסותא 4624
33.3%
רמת 4622
33.3%
החייל 4622
33.3%
לא 7
 
0.1%
ידוע 7
 
0.1%
ראשל"צ 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
א 9257
13.3%
9253
13.3%
י 9251
13.3%
ת 9246
13.3%
ל 4631
6.7%
ו 4631
6.7%
ס 4624
6.7%
ר 4624
6.7%
ה 4622
6.7%
מ 4622
6.7%
Other values (6) 4642
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 69403
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
א 9257
13.3%
9253
13.3%
י 9251
13.3%
ת 9246
13.3%
ל 4631
6.7%
ו 4631
6.7%
ס 4624
6.7%
ר 4624
6.7%
ה 4622
6.7%
מ 4622
6.7%
Other values (6) 4642
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 69403
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
א 9257
13.3%
9253
13.3%
י 9251
13.3%
ת 9246
13.3%
ל 4631
6.7%
ו 4631
6.7%
ס 4624
6.7%
ר 4624
6.7%
ה 4622
6.7%
מ 4622
6.7%
Other values (6) 4642
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 69403
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
א 9257
13.3%
9253
13.3%
י 9251
13.3%
ת 9246
13.3%
ל 4631
6.7%
ו 4631
6.7%
ס 4624
6.7%
ר 4624
6.7%
ה 4622
6.7%
מ 4622
6.7%
Other values (6) 4642
6.7%

Planned Operating Room Number
Categorical

High correlation 

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size325.6 KiB
20009.0
437 
20012.0
418 
20011.0
410 
20007.0
346 
20006.0
331 
Other values (16)
2689 

Length

Max length16
Median length7
Mean length7.0023753
Min length6

Characters and Unicode

Total characters32428
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row20029.0
2nd row20029.0
3rd row20028.0
4th row20010.0
5th row20010.0

Common Values

ValueCountFrequency (%)
20009.0 437
 
9.4%
20012.0 418
 
9.0%
20011.0 410
 
8.9%
20007.0 346
 
7.5%
20006.0 331
 
7.1%
20010.0 330
 
7.1%
20002.0 326
 
7.0%
20001.0 298
 
6.4%
20004.0 284
 
6.1%
20029.0 281
 
6.1%
Other values (11) 1170
25.3%

Length

2025-07-31T16:21:53.734326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20009.0 437
 
9.4%
20012.0 419
 
9.0%
20011.0 410
 
8.8%
20007.0 346
 
7.5%
20006.0 331
 
7.1%
20010.0 330
 
7.1%
20002.0 326
 
7.0%
20001.0 299
 
6.5%
20004.0 284
 
6.1%
20029.0 281
 
6.1%
Other values (9) 1170
25.3%

Most occurring characters

ValueCountFrequency (%)
0 16756
51.7%
2 5925
 
18.3%
. 4633
 
14.3%
1 2237
 
6.9%
9 739
 
2.3%
6 563
 
1.7%
5 358
 
1.1%
7 346
 
1.1%
8 330
 
1.0%
4 285
 
0.9%
Other values (4) 256
 
0.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32428
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 16756
51.7%
2 5925
 
18.3%
. 4633
 
14.3%
1 2237
 
6.9%
9 739
 
2.3%
6 563
 
1.7%
5 358
 
1.1%
7 346
 
1.1%
8 330
 
1.0%
4 285
 
0.9%
Other values (4) 256
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32428
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 16756
51.7%
2 5925
 
18.3%
. 4633
 
14.3%
1 2237
 
6.9%
9 739
 
2.3%
6 563
 
1.7%
5 358
 
1.1%
7 346
 
1.1%
8 330
 
1.0%
4 285
 
0.9%
Other values (4) 256
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32428
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 16756
51.7%
2 5925
 
18.3%
. 4633
 
14.3%
1 2237
 
6.9%
9 739
 
2.3%
6 563
 
1.7%
5 358
 
1.1%
7 346
 
1.1%
8 330
 
1.0%
4 285
 
0.9%
Other values (4) 256
 
0.8%

Pre-Surgical Admission Time Before Surgery
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct3602
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size589.0 KiB
2025-07-31T16:21:53.942394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length136
Median length108
Mean length65.228892
Min length0

Characters and Unicode

Total characters302075
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2907 ?
Unique (%)62.8%

Sample

1st row139.0, 204574818.0, 24245581.0, 2982.0, 309.0, 317017127.0, 36600393.0
2nd row139.0, 204574818.0, 24245581.0, 2982.0, 309.0, 317017127.0, 36600393.0
3rd row2982.0, 305034092.0, 305119943.0, 306896853.0, 313013773.0, 320921166.0, 49844434.0
4th row139.0, 2982.0, 300036357.0, 309.0, 313134298.0, 317017127.0, 36600393.0
5th row139.0, 174.0, 20659.0, 27725233.0, 2982.0, 327472080.0, 36600393.0, 49844434.0
ValueCountFrequency (%)
337862064.0 268
 
1.0%
8.0 244
 
0.9%
313226086.0 231
 
0.8%
324757558.0 225
 
0.8%
27725233.0 206
 
0.7%
303327142.0 204
 
0.7%
310968151.0 204
 
0.7%
313134298.0 203
 
0.7%
253.0 203
 
0.7%
179.0 203
 
0.7%
Other values (792) 25781
92.2%
2025-07-31T16:21:54.294685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46694
15.5%
3 33940
11.2%
. 27972
9.3%
2 27467
9.1%
1 23997
7.9%
23376
7.7%
, 23376
7.7%
4 18135
 
6.0%
7 16189
 
5.4%
5 16001
 
5.3%
Other values (3) 44928
14.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 302075
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 46694
15.5%
3 33940
11.2%
. 27972
9.3%
2 27467
9.1%
1 23997
7.9%
23376
7.7%
, 23376
7.7%
4 18135
 
6.0%
7 16189
 
5.4%
5 16001
 
5.3%
Other values (3) 44928
14.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 302075
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 46694
15.5%
3 33940
11.2%
. 27972
9.3%
2 27467
9.1%
1 23997
7.9%
23376
7.7%
, 23376
7.7%
4 18135
 
6.0%
7 16189
 
5.4%
5 16001
 
5.3%
Other values (3) 44928
14.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 302075
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 46694
15.5%
3 33940
11.2%
. 27972
9.3%
2 27467
9.1%
1 23997
7.9%
23376
7.7%
, 23376
7.7%
4 18135
 
6.0%
7 16189
 
5.4%
5 16001
 
5.3%
Other values (3) 44928
14.9%

Anesthesiologist Code
Real number (ℝ)

Zeros 

Distinct69
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3188.3405
Minimum0
Maximum8811
Zeros173
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:54.397996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1219
Q12022
median2172
Q33909
95-th percentile7860
Maximum8811
Range8811
Interquartile range (IQR)1887

Descriptive statistics

Standard deviation2182.9967
Coefficient of variation (CV)0.68468117
Kurtosis0.37226484
Mean3188.3405
Median Absolute Deviation (MAD)500
Skewness1.2044627
Sum14765205
Variance4765474.8
MonotonicityNot monotonic
2025-07-31T16:21:54.496599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3909 186
 
4.0%
0 173
 
3.7%
2546 172
 
3.7%
2054 156
 
3.4%
1884 150
 
3.2%
3897 148
 
3.2%
4702 134
 
2.9%
2050 129
 
2.8%
2022 126
 
2.7%
2061 122
 
2.6%
Other values (59) 3135
67.7%
ValueCountFrequency (%)
0 173
3.7%
881 1
 
< 0.1%
887 17
 
0.4%
1172 10
 
0.2%
1219 119
2.6%
1223 67
 
1.4%
1382 3
 
0.1%
1407 68
 
1.5%
1431 75
1.6%
1473 66
 
1.4%
ValueCountFrequency (%)
8811 6
 
0.1%
8538 61
1.3%
8522 53
1.1%
8457 31
 
0.7%
8436 77
1.7%
7860 51
1.1%
7807 22
 
0.5%
7621 110
2.4%
7309 94
2.0%
7205 78
1.7%

Anesthesia Code
Categorical

High correlation  Imbalance 

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size312.7 KiB
1.0
3664 
13.0, 4.0
 
256
1.0, 12.0
 
179
4.0
 
164
1.0, 18.0
 
163
Other values (27)
 
205

Length

Max length22
Median length3
Mean length4.1526668
Min length3

Characters and Unicode

Total characters19231
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.2%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3664
79.1%
13.0, 4.0 256
 
5.5%
1.0, 12.0 179
 
3.9%
4.0 164
 
3.5%
1.0, 18.0 163
 
3.5%
12.0, 13.0, 4.0 74
 
1.6%
13.0, 18.0 20
 
0.4%
12.0, 4.0 19
 
0.4%
13.0 18
 
0.4%
1.0, 4.0 15
 
0.3%
Other values (22) 59
 
1.3%

Length

2025-07-31T16:21:54.592663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1.0 4057
73.5%
4.0 549
 
9.9%
13.0 404
 
7.3%
12.0 285
 
5.2%
18.0 206
 
3.7%
3.0 9
 
0.2%
17.0 4
 
0.1%
24.0 2
 
< 0.1%
20.0 1
 
< 0.1%
16.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 5519
28.7%
. 5518
28.7%
1 4957
25.8%
, 887
 
4.6%
887
 
4.6%
4 551
 
2.9%
3 413
 
2.1%
2 288
 
1.5%
8 206
 
1.1%
7 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19231
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5519
28.7%
. 5518
28.7%
1 4957
25.8%
, 887
 
4.6%
887
 
4.6%
4 551
 
2.9%
3 413
 
2.1%
2 288
 
1.5%
8 206
 
1.1%
7 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19231
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5519
28.7%
. 5518
28.7%
1 4957
25.8%
, 887
 
4.6%
887
 
4.6%
4 551
 
2.9%
3 413
 
2.1%
2 288
 
1.5%
8 206
 
1.1%
7 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19231
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5519
28.7%
. 5518
28.7%
1 4957
25.8%
, 887
 
4.6%
887
 
4.6%
4 551
 
2.9%
3 413
 
2.1%
2 288
 
1.5%
8 206
 
1.1%
7 4
 
< 0.1%

Type of Anesthesia
Categorical

High correlation  Imbalance 

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size332.3 KiB
General
3664 
Sedation, Spinal
 
256
Block, General
 
179
Spinal
 
164
General, Local
 
163
Other values (27)
 
205

Length

Max length32
Median length7
Mean length8.4789462
Min length3

Characters and Unicode

Total characters39266
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.2%

Sample

1st rowGeneral
2nd rowGeneral
3rd rowGeneral
4th rowGeneral
5th rowGeneral

Common Values

ValueCountFrequency (%)
General 3664
79.1%
Sedation, Spinal 256
 
5.5%
Block, General 179
 
3.9%
Spinal 164
 
3.5%
General, Local 163
 
3.5%
Block, Sedation, Spinal 74
 
1.6%
Local, Sedation 20
 
0.4%
Block, Spinal 19
 
0.4%
Sedation 18
 
0.4%
General, Spinal 15
 
0.3%
Other values (22) 59
 
1.3%

Length

2025-07-31T16:21:54.682848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
general 4057
73.5%
spinal 549
 
9.9%
sedation 404
 
7.3%
block 285
 
5.2%
local 206
 
3.7%
epidural 9
 
0.2%
mac 4
 
0.1%
rb 2
 
< 0.1%
without 1
 
< 0.1%
anesthesia 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 8520
21.7%
a 5229
13.3%
l 5107
13.0%
n 5011
12.8%
r 4066
10.4%
G 4057
10.3%
i 964
 
2.5%
S 953
 
2.4%
o 896
 
2.3%
888
 
2.3%
Other values (17) 3575
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 39266
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8520
21.7%
a 5229
13.3%
l 5107
13.0%
n 5011
12.8%
r 4066
10.4%
G 4057
10.3%
i 964
 
2.5%
S 953
 
2.4%
o 896
 
2.3%
888
 
2.3%
Other values (17) 3575
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 39266
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8520
21.7%
a 5229
13.3%
l 5107
13.0%
n 5011
12.8%
r 4066
10.4%
G 4057
10.3%
i 964
 
2.5%
S 953
 
2.4%
o 896
 
2.3%
888
 
2.3%
Other values (17) 3575
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 39266
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8520
21.7%
a 5229
13.3%
l 5107
13.0%
n 5011
12.8%
r 4066
10.4%
G 4057
10.3%
i 964
 
2.5%
S 953
 
2.4%
o 896
 
2.3%
888
 
2.3%
Other values (17) 3575
9.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size294.0 KiB
4631 

Length

Max length0
Median length0
Mean length0
Min length0

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
4631
100.0%

Length

2025-07-31T16:21:54.758411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:54.796736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Actual Operating Room Number
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20010.241
Minimum20001
Maximum20029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:54.835063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20001
5-th percentile20001
Q120004
median20009
Q320012
95-th percentile20029
Maximum20029
Range28
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.914664
Coefficient of variation (CV)0.00039553068
Kurtosis0.78136958
Mean20010.241
Median Absolute Deviation (MAD)4
Skewness1.24357
Sum92667424
Variance62.641906
MonotonicityNot monotonic
2025-07-31T16:21:54.905509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20009 426
 
9.2%
20011 415
 
9.0%
20012 412
 
8.9%
20010 344
 
7.4%
20007 335
 
7.2%
20002 322
 
7.0%
20001 306
 
6.6%
20006 305
 
6.6%
20004 289
 
6.2%
20029 286
 
6.2%
Other values (7) 1191
25.7%
ValueCountFrequency (%)
20001 306
6.6%
20002 322
7.0%
20003 265
5.7%
20004 289
6.2%
20005 209
4.5%
20006 305
6.6%
20007 335
7.2%
20008 55
 
1.2%
20009 426
9.2%
20010 344
7.4%
ValueCountFrequency (%)
20029 286
6.2%
20028 277
6.0%
20027 2
 
< 0.1%
20016 231
5.0%
20015 152
 
3.3%
20012 412
8.9%
20011 415
9.0%
20010 344
7.4%
20009 426
9.2%
20008 55
 
1.2%
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:54.993827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:55.106147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Actual Surgery Room Entry Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB

Incision Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB

Closure Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:55.212793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:55.324338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

End of Surgery Time (Exit from OR)
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct251
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size314.0 KiB
2025-07-31T16:21:55.634333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.4329518
Min length0

Characters and Unicode

Total characters20529
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)1.1%

Sample

1st row95.0
2nd row96.0
3rd row82.0
4th row78.0
5th row82.0
ValueCountFrequency (%)
70.0 119
 
2.6%
120.0 103
 
2.2%
95.0 96
 
2.1%
65.0 86
 
1.9%
98.0 86
 
1.9%
90.0 85
 
1.8%
105.0 80
 
1.7%
82.0 78
 
1.7%
75.0 76
 
1.6%
85.0 75
 
1.6%
Other values (235) 3745
80.9%
2025-07-31T16:21:56.014437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5908
28.8%
. 4629
22.5%
1 2613
12.7%
5 1300
 
6.3%
7 1005
 
4.9%
9 987
 
4.8%
8 960
 
4.7%
6 941
 
4.6%
2 871
 
4.2%
4 692
 
3.4%
Other values (3) 623
 
3.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20529
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5908
28.8%
. 4629
22.5%
1 2613
12.7%
5 1300
 
6.3%
7 1005
 
4.9%
9 987
 
4.8%
8 960
 
4.7%
6 941
 
4.6%
2 871
 
4.2%
4 692
 
3.4%
Other values (3) 623
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20529
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5908
28.8%
. 4629
22.5%
1 2613
12.7%
5 1300
 
6.3%
7 1005
 
4.9%
9 987
 
4.8%
8 960
 
4.7%
6 941
 
4.6%
2 871
 
4.2%
4 692
 
3.4%
Other values (3) 623
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20529
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5908
28.8%
. 4629
22.5%
1 2613
12.7%
5 1300
 
6.3%
7 1005
 
4.9%
9 987
 
4.8%
8 960
 
4.7%
6 941
 
4.6%
2 871
 
4.2%
4 692
 
3.4%
Other values (3) 623
 
3.0%
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:56.118110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:56.225229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Recovery Room Entry Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct153
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2024-01-01 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:56.329858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:56.440349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Recovery Room Exit Time
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:56.546420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:56.655277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Planned Start Time for Doctor Block
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB
Distinct150
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
Minimum2023-07-02 00:00:00
Maximum2023-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:56.760489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:56.868754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Planned End Time for Doctor Block
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size253.3 KiB

Readmission
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size298.5 KiB
0
4631 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4631
100.0%

Length

2025-07-31T16:21:56.961659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:57.007132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 4631
100.0%

Most occurring characters

ValueCountFrequency (%)
0 4631
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 4631
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 4631
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 4631
100.0%

strict_signature
Text

Unique 

Distinct4631
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size705.1 KiB
2025-07-31T16:21:57.237833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length93
Median length91
Mean length90.908443
Min length89

Characters and Unicode

Total characters420997
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4631 ?
Unique (%)100.0%

Sample

1st row1.66_63.7_50_20029_2023-07-14_10:35:00_12:20:00_11:05:00_12:08:00_12:24:00_13:33:00_NaT_nan
2nd row1.76_71.0_46_20029_2023-07-14_12:41:00_14:15:00_13:10:00_13:57:00_14:19:00_15:37:00_NaT_nan
3rd row1.6_36.0_83_20028_2023-11-10_07:20:00_09:10:00_07:59:00_08:59:00_09:14:00_10:17:00_NaT_nan
4th row1.72_65.0_29_20010_2023-09-22_07:14:00_08:35:00_07:41:00_08:22:00_08:37:00_10:00:00_NaT_nan
5th row1.69_64.0_48_20010_2023-11-03_09:06:00_10:50:00_09:25:00_10:46:00_10:52:00_11:56:00_NaT_nan
ValueCountFrequency (%)
1.74_116.0_62_20010_2023-09-22_08:53:00_09:52:00_09:21:00_09:37:00_09:55:00_11:34:00_nat_nan 1
 
< 0.1%
1.72_68.0_35_20011_2023-11-12_19:05:00_21:36:00_19:19:00_21:25:00_21:38:00_23:43:00_nat_nan 1
 
< 0.1%
1.66_63.7_50_20029_2023-07-14_10:35:00_12:20:00_11:05:00_12:08:00_12:24:00_13:33:00_nat_nan 1
 
< 0.1%
1.76_71.0_46_20029_2023-07-14_12:41:00_14:15:00_13:10:00_13:57:00_14:19:00_15:37:00_nat_nan 1
 
< 0.1%
1.6_36.0_83_20028_2023-11-10_07:20:00_09:10:00_07:59:00_08:59:00_09:14:00_10:17:00_nat_nan 1
 
< 0.1%
1.72_65.0_29_20010_2023-09-22_07:14:00_08:35:00_07:41:00_08:22:00_08:37:00_10:00:00_nat_nan 1
 
< 0.1%
1.69_64.0_48_20010_2023-11-03_09:06:00_10:50:00_09:25:00_10:46:00_10:52:00_11:56:00_nat_nan 1
 
< 0.1%
1.66_60.0_64_20029_2023-12-26_12:31:00_13:14:00_12:47:00_13:05:00_13:17:00_15:03:00_nat_nan 1
 
< 0.1%
1.68_71.0_56_20002_2023-10-17_14:27:00_16:15:00_14:45:00_16:02:00_16:23:00_17:43:00_nat_nan 1
 
< 0.1%
1.76_83.0_60_20002_2023-07-18_07:21:00_11:12:00_07:47:00_11:02:00_11:15:00_13:37:00_nat_nan 1
 
< 0.1%
Other values (4621) 4621
99.8%
2025-07-31T16:21:57.588359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99450
23.6%
_ 55572
13.2%
: 55572
13.2%
1 43391
10.3%
2 34849
 
8.3%
3 16792
 
4.0%
5 13690
 
3.3%
7 12261
 
2.9%
4 11649
 
2.8%
8 10985
 
2.6%
Other values (8) 66786
15.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 420997
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 99450
23.6%
_ 55572
13.2%
: 55572
13.2%
1 43391
10.3%
2 34849
 
8.3%
3 16792
 
4.0%
5 13690
 
3.3%
7 12261
 
2.9%
4 11649
 
2.8%
8 10985
 
2.6%
Other values (8) 66786
15.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 420997
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 99450
23.6%
_ 55572
13.2%
: 55572
13.2%
1 43391
10.3%
2 34849
 
8.3%
3 16792
 
4.0%
5 13690
 
3.3%
7 12261
 
2.9%
4 11649
 
2.8%
8 10985
 
2.6%
Other values (8) 66786
15.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 420997
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 99450
23.6%
_ 55572
13.2%
: 55572
13.2%
1 43391
10.3%
2 34849
 
8.3%
3 16792
 
4.0%
5 13690
 
3.3%
7 12261
 
2.9%
4 11649
 
2.8%
8 10985
 
2.6%
Other values (8) 66786
15.9%

No Show
Boolean

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.7 KiB
False
4631 
ValueCountFrequency (%)
False 4631
100.0%
2025-07-31T16:21:57.647345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct4499
Distinct (%)97.5%
Missing16
Missing (%)0.3%
Memory size72.4 KiB
Minimum2023-07-02 07:00:00
Maximum2023-12-31 22:07:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:57.708457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:57.816279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4523
Distinct (%)98.1%
Missing19
Missing (%)0.4%
Memory size72.4 KiB
Minimum2023-07-02 07:17:00
Maximum2023-12-31 22:28:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:57.925283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:58.039567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Closure DateTime
Date

Missing 

Distinct4367
Distinct (%)98.7%
Missing207
Missing (%)4.5%
Memory size72.4 KiB
Minimum2023-07-02 08:05:00
Maximum2023-12-31 21:44:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:58.145625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:58.255366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Exit DateTime
Date

Missing 

Distinct2829
Distinct (%)99.0%
Missing1772
Missing (%)38.3%
Memory size72.4 KiB
Minimum2023-07-02 08:10:00
Maximum2023-12-31 11:35:00
Invalid dates0
Invalid dates (%)0.0%
2025-07-31T16:21:58.361306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:58.471740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Planned Surgery Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1291 
1
1203 
3
1087 
2
1050 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Length

2025-07-31T16:21:58.568084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:58.622198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Most occurring characters

ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1291
27.9%
1 1203
26.0%
3 1087
23.5%
2 1050
22.7%

Administrative Admission Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1290 
1
1192 
3
1170 
2
979 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%

Length

2025-07-31T16:21:58.694513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:58.747999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%

Most occurring characters

ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1290
27.9%
1 1192
25.7%
3 1170
25.3%
2 979
21.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
1
1422 
2
1084 
3
1069 
4
1056 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Length

2025-07-31T16:21:58.819443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:58.876375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Most occurring characters

ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1422
30.7%
2 1084
23.4%
3 1069
23.1%
4 1056
22.8%

Actual Surgery Room Entry Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1301 
1
1181 
3
1109 
2
1040 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Length

2025-07-31T16:21:58.948184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.004277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Most occurring characters

ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1301
28.1%
1 1181
25.5%
3 1109
23.9%
2 1040
22.5%

Incision Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1352 
1
1137 
2
1083 
3
1059 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Length

2025-07-31T16:21:59.076544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.129405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Most occurring characters

ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1352
29.2%
1 1137
24.6%
2 1083
23.4%
3 1059
22.9%

Closure Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1410 
2
1115 
3
1090 
1
1016 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

Length

2025-07-31T16:21:59.199769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.254405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

Most occurring characters

ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1410
30.4%
2 1115
24.1%
3 1090
23.5%
1 1016
21.9%

End of Surgery Time (Exit from OR)_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1377 
3
1133 
2
1111 
1
1010 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Length

2025-07-31T16:21:59.324768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.379245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Most occurring characters

ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1377
29.7%
3 1133
24.5%
2 1111
24.0%
1 1010
21.8%

Recovery Room Entry Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1346 
3
1179 
2
1102 
1
1004 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Length

2025-07-31T16:21:59.450047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.503316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Most occurring characters

ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1346
29.1%
3 1179
25.5%
2 1102
23.8%
1 1004
21.7%

Recovery Room Exit Time_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1333 
3
1168 
2
1122 
1
1008 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Length

2025-07-31T16:21:59.573940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.627000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Most occurring characters

ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1333
28.8%
3 1168
25.2%
2 1122
24.2%
1 1008
21.8%

Planned Start Time for Doctor Block_Minutes
Real number (ℝ)

High correlation 

Distinct147
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean692.68257
Minimum420
Maximum1305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.4 KiB
2025-07-31T16:21:59.712989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum420
5-th percentile420
Q1420
median660
Q3900
95-th percentile1140
Maximum1305
Range885
Interquartile range (IQR)480

Descriptive statistics

Standard deviation261.27284
Coefficient of variation (CV)0.37718985
Kurtosis-1.3838579
Mean692.68257
Median Absolute Deviation (MAD)240
Skewness0.28630331
Sum3207813
Variance68263.495
MonotonicityNot monotonic
2025-07-31T16:21:59.813476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
420 1647
35.6%
900 586
 
12.7%
960 448
 
9.7%
480 236
 
5.1%
840 167
 
3.6%
1020 157
 
3.4%
660 118
 
2.5%
780 116
 
2.5%
720 113
 
2.4%
600 96
 
2.1%
Other values (137) 947
20.4%
ValueCountFrequency (%)
420 1647
35.6%
424 1
 
< 0.1%
425 59
 
1.3%
427 1
 
< 0.1%
428 1
 
< 0.1%
430 11
 
0.2%
434 1
 
< 0.1%
435 4
 
0.1%
440 6
 
0.1%
445 1
 
< 0.1%
ValueCountFrequency (%)
1305 1
 
< 0.1%
1300 1
 
< 0.1%
1295 3
 
0.1%
1291 1
 
< 0.1%
1290 1
 
< 0.1%
1270 1
 
< 0.1%
1265 4
 
0.1%
1260 18
0.4%
1240 1
 
< 0.1%
1235 3
 
0.1%

Planned End Time for Doctor Block_Minutes
Categorical

High correlation 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
4
1305 
3
1225 
1
1093 
2
1008 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4631
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Length

2025-07-31T16:21:59.895400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T16:21:59.948375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Most occurring characters

ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4631
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 1305
28.2%
3 1225
26.5%
1 1093
23.6%
2 1008
21.8%

Interactions

2025-07-31T16:21:47.045324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:34.749280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.908863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:39.855233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:41.078199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:43.698628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:45.889106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:47.121536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:34.822233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:36.333088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:39.937998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:41.289720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:43.921907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:45.961679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:47.556539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.235302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:37.071247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:40.367520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:41.842987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:44.488953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:46.374857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:47.643753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.315915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:37.911108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:40.459081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:42.061498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:44.721251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:46.457611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:47.871618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.529414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:38.470790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:40.685083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:42.909334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:45.083329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:46.668975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:48.103584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.765345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:39.030244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:40.916288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:43.280020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:45.437344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:46.901034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:48.173243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:35.833372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:39.440845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:40.995362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:43.486661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:45.664812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-31T16:21:46.971135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-31T16:22:00.030548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Activity CodeActivity Type CodeActual Operating Room NumberActual Surgery Room Entry Time_MinutesAdministrative Admission Time_MinutesAnesthesia CodeAnesthesiologist CodeClosure Time_MinutesEnd of Surgery Time (Exit from OR)_MinutesIncision Time_MinutesPatient Age (on Surgery Day)Planned End Time for Doctor Block_MinutesPlanned Operating Room NumberPlanned SU Time (Large/Medium/Small)Planned Start Time for Doctor Block_MinutesPlanned Surgery Time_MinutesPre-Surgical Admission Time Before Surgery_MinutesRecovery Room Entry Time_MinutesRecovery Room Exit Time_MinutesType of Anesthesiapatient_idאתר מתוכנן
Activity Code1.000-0.001-0.2790.2310.2370.3550.0130.2230.2220.2240.1800.2600.3280.0260.0520.2360.2410.2220.1810.3550.0880.000
Activity Type Code-0.0011.0000.0320.1360.1180.248-0.0720.1240.1250.129-0.0660.1440.2750.025-0.0720.1350.1320.1270.1040.248-0.0670.000
Actual Operating Room Number-0.2790.0321.0000.0960.1020.1430.0410.0860.0860.096-0.0370.1370.8460.0760.0520.0890.0970.0880.0920.143-0.0220.025
Actual Surgery Room Entry Time_Minutes0.2310.1360.0961.0000.7140.0890.2630.8290.8330.9580.0410.5140.0920.0750.5940.8270.7440.8290.6100.0890.2090.007
Administrative Admission Time_Minutes0.2370.1180.1020.7141.0000.0640.2420.6440.6490.7060.0350.4620.0950.0660.5540.7010.7600.6500.5000.0640.2110.000
Anesthesia Code0.3550.2480.1430.0890.0641.0000.1800.0730.0740.0830.0390.1150.1260.1010.0900.0930.0920.0720.0681.0000.1530.000
Anesthesiologist Code0.013-0.0720.0410.2630.2420.1801.0000.2590.2600.2620.0030.2940.2410.0430.0860.2600.2700.2560.2210.1800.0160.000
Closure Time_Minutes0.2230.1240.0860.8290.6440.0730.2591.0000.9640.8470.0270.5020.0790.0700.5700.7450.6930.9540.6740.0730.2120.000
End of Surgery Time (Exit from OR)_Minutes0.2220.1250.0860.8330.6490.0740.2600.9641.0000.8520.0290.5070.0820.0710.5780.7490.7000.9810.6760.0740.2140.000
Incision Time_Minutes0.2240.1290.0960.9580.7060.0830.2620.8470.8521.0000.0500.5130.0910.0720.5940.8290.7410.8490.6250.0830.2110.000
Patient Age (on Surgery Day)0.180-0.066-0.0370.0410.0350.0390.0030.0270.0290.0501.0000.0000.0610.000-0.0100.0590.0400.0320.0360.039-0.0150.000
Planned End Time for Doctor Block_Minutes0.2600.1440.1370.5140.4620.1150.2940.5020.5070.5130.0001.0000.1420.0930.5150.5350.5190.5040.3990.1150.2430.000
Planned Operating Room Number0.3280.2750.8460.0920.0950.1260.2410.0790.0820.0910.0610.1421.0000.0770.1100.0950.0940.0830.0890.1260.1880.998
Planned SU Time (Large/Medium/Small)0.0260.0250.0760.0750.0660.1010.0430.0700.0710.0720.0000.0930.0771.0000.0600.0750.0860.0660.0750.1010.0620.145
Planned Start Time for Doctor Block_Minutes0.052-0.0720.0520.5940.5540.0900.0860.5700.5780.594-0.0100.5150.1100.0601.0000.6260.6190.5760.4620.0900.2510.034
Planned Surgery Time_Minutes0.2360.1350.0890.8270.7010.0930.2600.7450.7490.8290.0590.5350.0950.0750.6261.0000.7200.7470.5730.0930.2140.042
Pre-Surgical Admission Time Before Surgery_Minutes0.2410.1320.0970.7440.7600.0920.2700.6930.7000.7410.0400.5190.0940.0860.6190.7201.0000.7000.5390.0920.2170.018
Recovery Room Entry Time_Minutes0.2220.1270.0880.8290.6500.0720.2560.9540.9810.8490.0320.5040.0830.0660.5760.7470.7001.0000.6780.0720.2130.000
Recovery Room Exit Time_Minutes0.1810.1040.0920.6100.5000.0680.2210.6740.6760.6250.0360.3990.0890.0750.4620.5730.5390.6781.0000.0680.1720.000
Type of Anesthesia0.3550.2480.1430.0890.0641.0000.1800.0730.0740.0830.0390.1150.1260.1010.0900.0930.0920.0720.0681.0000.1530.000
patient_id0.088-0.067-0.0220.2090.2110.1530.0160.2120.2140.211-0.0150.2430.1880.0620.2510.2140.2170.2130.1720.1531.0000.000
אתר מתוכנן0.0000.0000.0250.0070.0000.0000.0000.0000.0000.0000.0000.0000.9980.1450.0340.0420.0180.0000.0000.0000.0001.000

Missing values

2025-07-31T16:21:48.395984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-31T16:21:48.774990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

patient_idSite CodeMain Surgeon CodeActivity CodeActivity Type CodePlanned SU Time (Large/Medium/Small)Pre-Surgery Admission DateHeightWeightPatient Age (on Surgery Day)Background Diseases/DiagnosesPlanned Surgery DatePlanned Surgery TimeSurgery Admission DateAdministrative Admission Timeאתר מתוכנןPlanned Operating Room NumberPre-Surgical Admission Time Before SurgerySurgical Team CodesAnesthesiologist CodeAnesthesia CodeType of AnesthesiaCancellation Reason on Surgery DayActual Operating Room NumberActual Surgery Room Entry DateActual Surgery Room Entry TimeIncision TimeClosure TimeEnd of Surgery Date (Exit from OR)End of Surgery Time (Exit from OR)Planned Surgery DurationRecovery Room Entry DateRecovery Room Entry TimeRecovery Room Exit DateRecovery Room Exit TimePlanned Start Date for Doctor BlockPlanned Start Time for Doctor BlockPlanned End Date for Doctor BlockPlanned End Time for Doctor BlockReadmissionstrict_signatureNo ShowEntry DateTimeIncision DateTimeClosure DateTimeExit DateTimePlanned Surgery Time_MinutesAdministrative Admission Time_MinutesPre-Surgical Admission Time Before Surgery_MinutesActual Surgery Room Entry Time_MinutesIncision Time_MinutesClosure Time_MinutesEnd of Surgery Time (Exit from OR)_MinutesRecovery Room Entry Time_MinutesRecovery Room Exit Time_MinutesPlanned Start Time for Doctor Block_MinutesPlanned End Time for Doctor Block_Minutes
363720298226.33190.02023-07-061.6663.750Asthma אלרגיה לחילופי עונה מיגרנות, SIALOLITHIASIS SUBMANDIBULAR2023-07-1409:40:002023-07-1409:08:39אסותא רמת החייל20029.009:20:00139.0, 204574818.0, 24245581.0, 2982.0, 309.0, 317017127.0, 36600393.02219.01.0General200292023-07-1410:35:0011:05:0012:08:002023-07-1412:20:0095.02023-07-1412:24:002023-07-1413:33:002023-07-1407:00:002023-07-1412:56:0001.66_63.7_50_20029_2023-07-14_10:35:00_12:20:00_11:05:00_12:08:00_12:24:00_13:33:00_NaT_nanFalse2023-07-14 10:35:002023-07-14 11:05:002023-07-14 12:08:002023-07-14 12:20:00222222222420.01
373820298226.33190.02023-07-091.7671.046Parotis2023-07-1411:20:002023-07-1410:57:56אסותא רמת החייל20029.011:07:00139.0, 204574818.0, 24245581.0, 2982.0, 309.0, 317017127.0, 36600393.02219.01.0General200292023-07-1412:41:0013:10:0013:57:002023-07-1414:15:0096.02023-07-1414:19:002023-07-1415:37:002023-07-1407:00:002023-07-1412:56:0001.76_71.0_46_20029_2023-07-14_12:41:00_14:15:00_13:10:00_13:57:00_14:19:00_15:37:00_NaT_nanFalse2023-07-14 12:41:002023-07-14 13:10:002023-07-14 13:57:002023-07-14 14:15:00222222223420.01
383920298226.331917.02023-10-291.636.083Hypertension Hyperlipidemia עומד בפני כריתת אבן מבלוטת רוק CAROTID ARTERY STENOSIS SP PTCA STENT BCC SP MI מחלת לב כלילית ירידת שמיעה דו צדדית - מרכיב מכשירי שמיעה, Sialolithiasis2023-11-1007:00:002023-11-1006:18:51אסותא רמת החייל20028.006:30:002982.0, 305034092.0, 305119943.0, 306896853.0, 313013773.0, 320921166.0, 49844434.01672.01.0General200282023-11-1007:20:0007:59:0008:59:002023-11-1009:10:0082.02023-11-1009:14:002023-11-1010:17:002023-11-1007:00:002023-11-1011:06:0001.6_36.0_83_20028_2023-11-10_07:20:00_09:10:00_07:59:00_08:59:00_09:14:00_10:17:00_NaT_nanFalse2023-11-10 07:20:002023-11-10 07:59:002023-11-10 08:59:00111111111420.01
394020298226.331918.02023-09-201.7265.029Asthma LT SUBMANDIBULAR STONE IRON DEFICIENCY ANEMIA FRACTURE FEMORAL SHAFT CLOSED ANGIOEDEMA ALLERGIC HERPES SIMPLEX CONDYLOMA ACCUMINATA URETHRITIS UNS PSORIASIS, הוצאת אבן מבלוטת רוק2023-09-2207:00:002023-09-2205:48:20אסותא רמת החייל20010.006:04:00139.0, 2982.0, 300036357.0, 309.0, 313134298.0, 317017127.0, 36600393.02219.01.0General200102023-09-2207:14:0007:41:0008:22:002023-09-2208:35:0078.02023-09-2208:37:002023-09-2210:00:002023-09-2207:00:002023-09-2209:36:0001.72_65.0_29_20010_2023-09-22_07:14:00_08:35:00_07:41:00_08:22:00_08:37:00_10:00:00_NaT_nanFalse2023-09-22 07:14:002023-09-22 07:41:002023-09-22 08:22:002023-09-22 08:35:00111111111420.01
404120298226.331918.02023-11-021.6964.048Lt Salivary Gland Endoscopy for Sialolitiasis, SIALOLITHIASIS RADICULAR PAIN VASOVAGAL PHENOMENON COLON POLYP NEUROPATHIC PAIN2023-11-0308:19:002023-11-0307:11:33אסותא רמת החייל20010.008:10:00139.0, 174.0, 20659.0, 27725233.0, 2982.0, 327472080.0, 36600393.0, 49844434.00.01.0General200102023-11-0309:06:0009:25:0010:46:002023-11-0310:50:0082.02023-11-0310:52:002023-11-0311:56:002023-11-0307:00:002023-11-0309:41:0001.69_64.0_48_20010_2023-11-03_09:06:00_10:50:00_09:25:00_10:46:00_10:52:00_11:56:00_NaT_nanFalse2023-11-03 09:06:002023-11-03 09:25:002023-11-03 10:46:00111111112420.01
434420298226.331920.02023-07-101.6894.044LYMPHADENOPATHY, salivary gland lithiasis2023-07-1408:05:002023-07-1407:19:20אסותא רמת החייל20029.008:04:00139.0, 204574818.0, 24245581.0, 2982.0, 309.0, 317017127.0, 36600393.02219.01.0General200292023-07-1408:44:0009:10:0009:42:002023-07-1409:49:0093.02023-07-1409:54:002023-07-1411:15:002023-07-1407:00:002023-07-1412:56:0001.68_94.0_44_20029_2023-07-14_08:44:00_09:49:00_09:10:00_09:42:00_09:54:00_11:15:00_NaT_nanFalse2023-07-14 08:44:002023-07-14 09:10:002023-07-14 09:42:002023-07-14 09:49:00111111111420.01
444520298226.331920.02023-08-081.6560.054אבן בבלוטת הרוק2023-08-1110:00:002023-08-1109:07:16אסותא רמת החייל20012.009:30:0016829.0, 2982.0, 300036357.0, 308630136.0, 319220976.0, 8.02047.01.0General200122023-08-1110:23:0010:41:0011:36:002023-08-1111:34:0079.02023-08-1111:38:002023-08-1113:00:002023-08-1110:00:002023-08-1114:53:0001.65_60.0_54_20012_2023-08-11_10:23:00_11:34:00_10:41:00_11:36:00_11:38:00_13:00:00_NaT_nanFalse2023-08-11 10:23:002023-08-11 10:41:002023-08-11 11:34:00222222222600.02
454620298226.331920.02023-09-181.74116.062Endoscopy of parotis, Obesity BELLS PALSY DIVERTICULITIS COLON ONCOCYTOMAL PAROTIS/ VARIANT ONCOCYTIC MUCOEPIDERMOID CA PROSTATIC HYPERPLASIA FATTY LIVER2023-09-2208:18:002023-09-2207:10:50אסותא רמת החייל20010.008:15:00139.0, 2982.0, 300036357.0, 309.0, 313134298.0, 317017127.0, 36600393.02219.01.0General200102023-09-2208:53:0009:21:0009:37:002023-09-2209:52:0078.02023-09-2209:55:002023-09-2211:34:002023-09-2207:00:002023-09-2209:36:0001.74_116.0_62_20010_2023-09-22_08:53:00_09:52:00_09:21:00_09:37:00_09:55:00_11:34:00_NaT_nanFalse2023-09-22 08:53:002023-09-22 09:21:002023-09-22 09:37:002023-09-22 09:52:00111111111420.01
474820298226.331920.02023-10-301.5550.034SIALOLITHIASIS CERVICAL DYSPLASIA LYMPHADENITIS ACUTE, sialolithiasis2023-11-1008:22:002023-11-1007:04:17אסותא רמת החייל20028.007:17:002982.0, 305034092.0, 305119943.0, 306896853.0, 313013773.0, 320921166.0, 49844434.01672.01.0General200282023-11-1009:27:0009:53:0011:33:002023-11-1011:47:0082.02023-11-1011:52:002023-11-1012:41:002023-11-1007:00:002023-11-1011:06:0001.55_50.0_34_20028_2023-11-10_09:27:00_11:47:00_09:53:00_11:33:00_11:52:00_12:41:00_NaT_nanFalse2023-11-10 09:27:002023-11-10 09:53:002023-11-10 11:33:002023-11-10 11:47:00111112222420.01
484920298226.331920.02023-11-021.655.063*, BRONCHIECTASIS2023-11-1009:44:002023-11-1009:02:16אסותא רמת החייל20028.009:21:002982.0, 305034092.0, 305119943.0, 306896853.0, 313013773.0, 320921166.01672.013.0Sedation200282023-11-1012:15:0012:28:0012:50:002023-11-1012:57:0082.02023-11-1013:00:002023-11-1013:38:002023-11-1007:00:002023-11-1011:06:0001.6_55.0_63_20028_2023-11-10_12:15:00_12:57:00_12:28:00_12:50:00_13:00:00_13:38:00_NaT_nanFalse2023-11-10 12:15:002023-11-10 12:28:002023-11-10 12:50:002023-11-10 12:57:00222222222420.01
patient_idSite CodeMain Surgeon CodeActivity CodeActivity Type CodePlanned SU Time (Large/Medium/Small)Pre-Surgery Admission DateHeightWeightPatient Age (on Surgery Day)Background Diseases/DiagnosesPlanned Surgery DatePlanned Surgery TimeSurgery Admission DateAdministrative Admission Timeאתר מתוכנןPlanned Operating Room NumberPre-Surgical Admission Time Before SurgerySurgical Team CodesAnesthesiologist CodeAnesthesia CodeType of AnesthesiaCancellation Reason on Surgery DayActual Operating Room NumberActual Surgery Room Entry DateActual Surgery Room Entry TimeIncision TimeClosure TimeEnd of Surgery Date (Exit from OR)End of Surgery Time (Exit from OR)Planned Surgery DurationRecovery Room Entry DateRecovery Room Entry TimeRecovery Room Exit DateRecovery Room Exit TimePlanned Start Date for Doctor BlockPlanned Start Time for Doctor BlockPlanned End Date for Doctor BlockPlanned End Time for Doctor BlockReadmissionstrict_signatureNo ShowEntry DateTimeIncision DateTimeClosure DateTimeExit DateTimePlanned Surgery Time_MinutesAdministrative Admission Time_MinutesPre-Surgical Admission Time Before Surgery_MinutesActual Surgery Room Entry Time_MinutesIncision Time_MinutesClosure Time_MinutesEnd of Surgery Time (Exit from OR)_MinutesRecovery Room Entry Time_MinutesRecovery Room Exit Time_MinutesPlanned Start Time for Doctor Block_MinutesPlanned End Time for Doctor Block_Minutes
20745207462031438612985.231220.02023-11-131.6164.054Anxiety disorder, RT LUMPECTOMY2023-11-1620:00:002023-11-1616:49:48אסותא רמת החייל20016.017:29:00133.0, 171.0, 221.0, 314386129.0, 314774936.0, 337592315.02065.01.0General200162023-11-1620:59:0021:14:0021:32:002023-11-1621:40:0071.02023-11-1621:41:002023-11-1622:53:002023-11-1620:00:002023-11-1622:39:0001.61_64.0_54_20016_2023-11-16_20:59:00_21:40:00_21:14:00_21:32:00_21:41:00_22:53:00_NaT_nanFalse2023-11-16 20:59:002023-11-16 21:14:002023-11-16 21:32:004444444441200.04
20747207482031438612954.01120.02023-11-131.6866.060BIH2023-11-1621:15:002023-11-1618:07:23אסותא רמת החייל20016.018:50:00133.0, 171.0, 221.0, 314386129.0, 314774936.0, 337592315.02065.01.0General200162023-11-1622:06:0022:17:0023:11:002023-11-1623:15:0084.02023-11-1623:18:002023-11-1700:22:002023-11-1620:00:002023-11-1622:39:0001.68_66.0_60_20016_2023-11-16_22:06:00_23:15:00_22:17:00_23:11:00_23:18:00_00:22:00_NaT_nanFalse2023-11-16 22:06:002023-11-16 22:17:002023-11-16 23:11:002023-11-16 23:15:004444444411200.04
20751207522032067972385.4322122023-10-251.5953.061BREAST CARCINOMA2023-10-3108:25:002023-10-3105:52:46אסותא רמת החייל20001.007:01:00206772949.0, 307304238.0, 316254747.0, 320679723.0, 321791550.0, 328810023.0, 34573048.01219.01.0General200012023-10-3109:00:0009:20:0010:55:002023-10-3111:07:00145.02023-10-3111:10:002023-10-3113:15:002023-10-3107:05:002023-10-3110:50:0001.59_53.0_61_20001_2023-10-31_09:00:00_11:07:00_09:20:00_10:55:00_11:10:00_13:15:00_NaT_nanFalse2023-10-31 09:00:002023-10-31 09:20:002023-10-31 10:55:002023-10-31 11:07:00111112222425.01
20759207602032691644219.51920.02023-07-301.5587.073LEFT PERFORATION TYMPANIC MEMBRANE2023-08-0211:12:002023-08-0209:33:47אסותא רמת החייל20007.009:47:00171.0, 317988111.0, 319572574.0, 322059106.0, 326916442.02161.01.0General200072023-08-0211:12:0011:45:0014:23:002023-08-0214:25:00198.02023-08-0214:28:002023-08-0215:45:002023-08-0211:12:002023-08-0214:30:0001.55_87.0_73_20007_2023-08-02_11:12:00_14:25:00_11:45:00_14:23:00_14:28:00_15:45:00_NaT_nanFalse2023-08-02 11:12:002023-08-02 11:45:002023-08-02 14:23:002023-08-02 14:25:00222223333672.02
20779207802032729602651.231220.02023-07-231.677.035Cholecystectomy, נשאות FACTOR 5 LEIDEN2023-08-0615:00:002023-08-0613:08:07אסותא רמת החייל20029.013:46:00133.0, 300036357.0, 313013773.0, 324.0, 327296026.0, 337862064.01884.01.0General200292023-08-0615:31:0015:44:0016:16:002023-08-0616:23:0097.02023-08-0616:26:002023-08-0616:58:002023-08-0615:00:002023-08-0621:45:0001.6_77.0_35_20029_2023-08-06_15:31:00_16:23:00_15:44:00_16:16:00_16:26:00_16:58:00_NaT_nanFalse2023-08-06 15:31:002023-08-06 15:44:002023-08-06 16:16:002023-08-06 16:23:00333333333900.04
20782207832032729602645.4511220.02023-08-271.5777.080Diabetes mellitus Hypertension Atrial fibrillation ANEMIA. OBESITY 2022 עברה היפוך DC SHOCK, Tu of colon2023-09-0520:00:002023-09-0516:49:46אסותא רמת החייל20012.017:33:00150.0, 280.0, 313226086.0, 319572574.0, 32054348.0, 327296026.02161.01.0General200122023-09-0518:40:0019:15:0020:39:002023-09-0520:52:00155.02023-09-0520:53:002023-09-0600:30:002023-09-0520:00:002023-09-0522:35:0001.57_77.0_80_20012_2023-09-05_18:40:00_20:52:00_19:15:00_20:39:00_20:53:00_00:30:00_NaT_nanFalse2023-09-05 18:40:002023-09-05 19:15:002023-09-05 20:39:002023-09-05 20:52:004444444411200.04
20797207982032729602654.01220.02023-12-101.8587.068Hypertension Hypothyroidism THYMIC CARCINOMA, Rt IH2023-12-1717:56:002023-12-1714:47:57אסותא רמת החייל20011.015:06:00133.0, 314632498.0, 316254747.0, 319612149.0, 327296026.0, 57761546.02172.01.0General200112023-12-1717:28:0017:37:0018:20:002023-12-1718:23:0087.02023-12-1718:25:002023-12-1719:17:002023-12-1717:01:002023-12-1722:10:0001.85_87.0_68_20011_2023-12-17_17:28:00_18:23:00_17:37:00_18:20:00_18:25:00_19:17:00_NaT_nanFalse2023-12-17 17:28:002023-12-17 17:37:002023-12-17 18:20:004334443341021.04
20836208372032726934618.2812.02023-06-291.7277.060Dermatohiliasis, Diabetes mellitus HYPERTHYROIDISM GRAVEES DISEASE2023-07-0410:40:002023-07-0410:35:08אסותא רמת החייל20016.010:48:00221.0, 300036357.0, 303874119.0, 314721432.0, 327269346.02065.013.0, 18.0Local, Sedation200162023-07-0411:48:0011:56:0012:17:002023-07-0412:21:0050.02023-07-0412:25:002023-07-0413:20:002023-07-0409:15:002023-07-0412:37:0001.72_77.0_60_20016_2023-07-04_11:48:00_12:21:00_11:56:00_12:17:00_12:25:00_13:20:00_NaT_nanFalse2023-07-04 11:48:002023-07-04 11:56:002023-07-04 12:17:002023-07-04 12:21:00222222222555.01
20843208442034648458748.771220.02023-09-061.7160.034PROLAPSE OFRECTUM, הפרעות אכילה RECTAL PROLAPSE2023-09-0717:00:002023-09-0715:07:59אסותא רמת החייל20010.015:27:00206315798.0, 311996532.0, 314291626.0, 337862064.0, 340914498.0, 346484587.01223.01.0General200102023-09-0717:14:0017:48:0019:50:002023-09-0720:01:00171.02023-09-0720:06:002023-09-0721:39:002023-09-0717:00:002023-09-0722:51:0001.71_60.0_34_20010_2023-09-07_17:14:00_20:01:00_17:48:00_19:50:00_20:06:00_21:39:00_NaT_nanFalse2023-09-07 17:14:002023-09-07 17:48:002023-09-07 19:50:002023-09-07 20:01:004433444441020.04
20849208502032729602645.461220.02023-10-311.7268.035Diverticulosis2023-11-1218:40:002023-11-1214:21:31אסותא רמת החייל20011.018:18:00310318597.0, 313013773.0, 319612149.0, 324315415.0, 327296026.0, 337862064.02172.01.0General200112023-11-1219:05:0019:19:0021:25:002023-11-1221:36:00155.02023-11-1221:38:002023-11-1223:43:002023-11-1216:00:002023-11-1221:15:0001.72_68.0_35_20011_2023-11-12_19:05:00_21:36:00_19:19:00_21:25:00_21:38:00_23:43:00_NaT_nanFalse2023-11-12 19:05:002023-11-12 19:19:002023-11-12 21:25:00434444444960.04